{"id":"https://openalex.org/W2000194437","doi":"https://doi.org/10.1002/(sici)1096-9128(199610)8:8<617::aid-cpe232>3.0.co;2-q","title":"Parallel neural net training on the KSR1","display_name":"Parallel neural net training on the KSR1","publication_year":1996,"publication_date":"1996-10-01","ids":{"openalex":"https://openalex.org/W2000194437","doi":"https://doi.org/10.1002/(sici)1096-9128(199610)8:8<617::aid-cpe232>3.0.co;2-q","mag":"2000194437"},"language":"en","primary_location":{"id":"doi:10.1002/(sici)1096-9128(199610)8:8<617::aid-cpe232>3.0.co;2-q","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1096-9128(199610)8:8<617::aid-cpe232>3.0.co;2-q","pdf_url":null,"source":{"id":"https://openalex.org/S4210209928","display_name":"Concurrency Practice and Experience","issn_l":"1040-3108","issn":["1040-3108","1096-9128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency: Practice and Experience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112227123","display_name":"Louis Coetzee","orcid":"https://orcid.org/0000-0001-7352-6810"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Louis Coetzee","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Pretoria, Pretoria, 0002 South Africa","Department of Electrical and Electronic Engineering, University of Pretoria, Pretoria, 0002, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Pretoria, Pretoria, 0002 South Africa","institution_ids":["https://openalex.org/I69552723"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Pretoria, Pretoria, 0002, South Africa","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108696833","display_name":"Elizabeth C. Botha","orcid":null},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Elizabeth C. Botha","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Pretoria, Pretoria, 0002 South Africa","Department of Electrical and Electronic Engineering, University of Pretoria, Pretoria, 0002, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Pretoria, Pretoria, 0002 South Africa","institution_ids":["https://openalex.org/I69552723"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Pretoria, Pretoria, 0002, South Africa","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112227123"],"corresponding_institution_ids":["https://openalex.org/I69552723"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1109584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"8","first_page":"617","last_page":"638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8164184093475342},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7190037965774536},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6898506879806519},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6829841732978821},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5343005061149597},{"id":"https://openalex.org/keywords/conjugate-gradient-method","display_name":"Conjugate gradient method","score":0.5321900844573975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48133644461631775},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.44785434007644653},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.44724196195602417},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4288688898086548},{"id":"https://openalex.org/keywords/parallel-processing","display_name":"Parallel processing","score":0.41375449299812317},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35601428151130676},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3409119248390198},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10799199342727661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8164184093475342},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7190037965774536},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6898506879806519},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6829841732978821},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5343005061149597},{"id":"https://openalex.org/C81184566","wikidata":"https://www.wikidata.org/wiki/Q1191895","display_name":"Conjugate gradient method","level":2,"score":0.5321900844573975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48133644461631775},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.44785434007644653},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.44724196195602417},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4288688898086548},{"id":"https://openalex.org/C106515295","wikidata":"https://www.wikidata.org/wiki/Q26806595","display_name":"Parallel processing","level":2,"score":0.41375449299812317},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35601428151130676},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3409119248390198},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10799199342727661},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1002/(sici)1096-9128(199610)8:8<617::aid-cpe232>3.0.co;2-q","is_oa":false,"landing_page_url":"https://doi.org/10.1002/(sici)1096-9128(199610)8:8<617::aid-cpe232>3.0.co;2-q","pdf_url":null,"source":{"id":"https://openalex.org/S4210209928","display_name":"Concurrency Practice and Experience","issn_l":"1040-3108","issn":["1040-3108","1096-9128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency: Practice and Experience","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.45.7789","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.7789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://ftp.ee.up.ac.za/pub/louis/ksr_art.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4312154385","https://openalex.org/W2185955524","https://openalex.org/W2104893957","https://openalex.org/W2782354941","https://openalex.org/W2115072676","https://openalex.org/W97768505","https://openalex.org/W2918103456","https://openalex.org/W2080531293","https://openalex.org/W4311212821","https://openalex.org/W2045727192"],"abstract_inverted_index":{"In":[0,70],"modern":[1],"day":[2],"pattern":[3],"recognition,":[4],"neural":[5,15,48,94,106,159],"nets":[6],"are":[7],"used":[8],"extensively.":[9],"General":[10],"use":[11,134],"of":[12,18,28,39,42,77,81,123,156,167,170,180],"a":[13,19,24,60,78,91,121,168],"feedforward":[14,93],"net":[16,107,160],"consists":[17,38],"training":[20,84,108,161,197],"phase":[21],"followed":[22],"by":[23],"classification":[25],"phase.":[26],"Classification":[27],"an":[29,52,75],"unknown":[30],"test":[31,44],"vector":[32,45],"is":[33,56,64,130],"very":[34,57],"fast":[35],"and":[36,55,125],"only":[37],"the":[40,43,47,82,97,111,117,142,147,153,157,165,178,181,189],"propagation":[41],"through":[46],"net.":[49],"Training":[50],"involves":[51],"optimization":[53,89],"procedure":[54],"time-consuming":[58],"since":[59],"feasible":[61],"local":[62],"minimum":[63],"sought":[65],"in":[66,191],"high-dimensional":[67],"weight":[68],"space.":[69],"this":[71],"paper":[72],"we":[73,133,186],"present":[74],"analysis":[76],"parallel":[79,99,105,148,196],"implementation":[80,149],"backpropagation":[83],"algorithm":[85],"using":[86,114,119],"conjugate":[87],"gradient":[88],"for":[90,194],"three-layered,":[92],"network,":[95],"on":[96,110],"KSR1":[98],"shared-memory":[100],"machine.":[101],"We":[102,140,163],"implement":[103],"two":[104],"versions":[109],"KSR1,":[112],"one":[113],"native":[115],"code,":[116],"other":[118],"P4,":[120],"library":[122,169],"macros":[124],"functions.":[126],"A":[127],"speedup":[128],"model":[129],"presented":[131],"which":[132,145],"to":[135,152,176],"clarify":[136],"our":[137,195],"experimental":[138,184],"results.":[139],"identify":[141,188],"general":[143],"requirements":[144],"render":[146],"useful,":[150],"compared":[151],"sequential":[154],"execution":[155],"same":[158],"procedure.":[162],"determine":[164],"usefulness":[166],"functions":[171],"(such":[172],"as":[173],"P4)":[174],"developed":[175],"ease":[177],"task":[179],"programmer.":[182],"Using":[183],"results":[185],"further":[187],"limits":[190],"processor":[192],"utilization":[193],"algorithm.":[198]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}